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TKApprox

0.1.0

A General Framework for Bayesian Estimation Using the 'Tierney'-'Kadane' Approximation

0packages depend
44downloads / year
48.8%test coverage
9/9checks pass

Overview

About
Maintained by Shikhar TyagiFirst published 2026-08-081 releasesCRAN page ↗

Provides a distribution-independent framework for Bayesian estimation of arbitrary univariate probability models using the 'Tierney'-'Kadane' approximation ('Tierney' & 'Kadane', 1986 doi:10.1080/01621459.1986.10478240). Users specify the probability distribution, likelihood, prior distributions, and censoring mechanism, while the package automatically constructs the posterior distribution, computes posterior modes and Hessian matrices, approximates posterior expectations under several Bayesian loss functions, and returns Bayesian parameter estimates, posterior covariance matrices, credible intervals, diagnostic plots, and model comparison statistics. Supports complete, right-, left-, interval-, Type-I, Type-II, progressive Type-II, hybrid, and doubly censored data ('Lawless', 2003 <ISBN:978-0-471-37215-8>; 'Meeker' & 'Escobar', 1998 <ISBN:978-0-471-14328-4>; 'Balakrishnan' & 'Aggarwala', 2000 <ISBN:978-0-8176-4129-0>; 'Kundu' & 'Pradhan', 2009 doi:10.1198/TECH.2009.0019), making it a flexible tool for Bayesian reliability, survival, and lifetime data analysis.

Install

Health

CRAN checks
9OK
Slowest check: 4.0 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.19
48.8%
Coverage · measured lines
100%
Documentation · exports
9
Dependencies · direct
Check history
  • OK2026-08-08
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 490 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

44
CRAN downloads in the past year
Rank #24,842 · ~0/day · ~4/mo
TKApprox
Daily download trend is not available in this view yet.

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (9)
checkmatenumDerivmaxLikrlangstatsgraphicsgrDevicesutilsMASS
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-08-08 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-08
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.0.0
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TKApprox")
Tyagi, S., Pandey, A., Singh, B., & Tripathi, V. (2026). TKApprox: A General Framework for Bayesian Estimation Using the 'Tierney'-'Kadane' Approximation (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.TKApprox

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for TKApprox version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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